Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

Wastewater-based epidemiology has emerged as a transformative surveillance tool for estimating substance consumption and monitoring disease prevalence, particularly during the COVID-19 pandemic. It enables the population-level monitoring of illicit drug use, pathogen prevalence, and environmental pollutant exposure. In this perspective, we summarize the key challenges specific to the Chinese context: (1) Sampling inconsistencies, necessitating standardized 24-hour composite protocols with high-frequency autosamplers (≤ 15 min/event) to improve the representativeness of samples; (2) Biomarker validation, requiring rigorous assessment of excretion profiles and in-sewer stability; (3) Analytical method disparities, demanding inter-laboratory proficiency testing and the development of automated pretreatment instruments; (4) Catchment population dynamics, reducing estimation uncertainties through mobile phone data, flow-based models, or hydrochemical parameters; and (5) Ethical and data management concerns, including privacy risks for small communities, mitigated through data de-identification and tiered reporting platforms. To address these challenges, we propose an integrated framework that features adaptive sampling networks, multi-scale wastewater sample banks, biomarker databases with multidimensional metadata, and intelligent data dashboards. In summary, wastewater-based epidemiology offers unparalleled scalability for equitable health surveillance and can improve the health of the entire population by providing timely and objective information to guide the development of targeted policies.
China/epidemiology* ; Humans ; Wastewater/analysis* ; COVID-19/epidemiology* ; Public Health ; Wastewater-Based Epidemiological Monitoring ; SARS-CoV-2

Objective To investigate the feasibility and safety of transoral transgastric natural orifice transluminal endoscopic surgery(TG-NOTES)cholecystectomy in miniature pigs.Methods A total of 11 miniature pigs were selected as the experimental subjects and underwent TG-NOTES cholecystectomy.These pigs were divided into the Group A and Group B according to the surgical procedures.Among them,7 miniature pigs in the Group A underwent endoscopic cholecystectomy without dissecting the gallbladder triangle,while 4 miniature pigs in the Group B underwent endoscopic cholecystectomy after dissecting the gallbladder triangle.The success rate of surgery,the time of each stage of surgery,the incidence of complications,the success rate of cholecystectomy and the survival rate of miniature pigs in the two groups were counted.One miniature pig in the Group A and 4 miniature pigs in the Group B were selected for survival experiments.After surviving for 1 week,they were killed and dissected to observe the healing of incision and incidence of complications.Results The surgical survival rate of experimental animals was 100%,and the success rate of cholecystectomy was 100%.There was no significant difference in the surgical time,time of cut the stomach into the abdomen,time of gallbladder exploration or time of gallbladder removal of miniature pigs between the two groups(P>0.05).The time of ligating gallbladder artery of miniature pigs in the Group B was longer than that in the Group A,and the time of isdating gallbladder was shorter than that in the Group A,with statistically significant differences(P<0.05).There was no significant difference in the average number of complications of miniature pigs between the two groups(P>0.05).The dissection of animals after survival experiments revealed that the incisions healed well without serious complications.Conclusion This study successfully establishes the surgical model of TG-NOTES cholecystectomy,and confirms the safety and feasibility of TG-NOTES cholecystectomy.

Objective:To synthesize 18F labeled PET imaging probe based on giredestrant (GDC-9545), an estrogen receptor α (ERα) degrader and antagonist, and evaluate its ERα-targeting properties. Methods:The precursor-GDC (PGDC), GDC and 18F-GDC were synthesized. The radiochemical yields, radiochemical purity, specific activity, lipid water partition coefficient log P, and stability of 18F-GDC were determined. Cellular uptake and blocking assays of 18F-GDC were performed using ERα high-expressing MCF-7 cells and ERα low-expressing MDA-MB-231 cells. MCF-7 and MDA-MB-231 tumor-bearing mice were constructed and microPET imaging was performed. The biodistribution of 18F-GDC in MCF-7 tumor-bearing mice was studied. Data were analyzed by using two-way repeated measures analysis of variance and Bonferroni correction method. Results:PGDC and GDC were successfully prepared with the purity more than 95%. 18F-GDC was successfully synthesized with the labeling yield of (11.25±3.18)%, radiochemical purity more than 98%, specific activity of (140.66±17.20)GBq/μmol and lipid water partition coefficient log P of 2.12±0.13. 18F-GDC was stable in PBS or mouse serum, with the radiochemical purity still more than 98% after 2 h of incubation. After incubation for 60 and 120min, the uptakes of 18F-GDC in MCF-7 cells were significantly higher than those in MDA-MB-231 cells ( F values: 113.78, 369.70, P values: 0.002, 0.001 (Bonferroni correction method)), and could be blocked by GDC. 18F-GDC had a high uptake in MCF-7 tumors and could be blocked by GDC. Tumor uptake at 60 min post-injection was (7.23±0.74) percentage activity of injection dose per gram of tissue (%ID/g) and the tumor/muscle uptake ratio was 2.83±0.29 in MCF-7 tumors, while 18F-GDC had a lower uptake in MDA-MB-231 tumors, with (2.01±0.46)%ID/g at 60min post-injection, and a tumor/muscle uptake ratio of 0.96±0.22 ( F values: 77.28, 55.44, P values: 0.002, 0.006 (Bonferroni correction method)). 18F-GDC was mainly distributed in MCF-7 tumors and organs including heart, liver, spleen, kidney, stomach and intestines. Conclusions:18F-GDC is successfully synthesized, with high radiochemical purity and stability, and can concentrate in the ERα-overexpressing cancer cells and lesion area of xenograft tumor mouse. It presents good image contrast in PET imaging, indicating excellent diagnostic performance.

Objective:To design and synthesize a 18F-labeled small molecule PET imaging probe targeting carbonic anhydrase Ⅸ (CAⅨ), named as 18F-single-acetazolamide (SAZ), and to evaluate its biological properties preliminarily. Methods:Acetazolamide was used as raw material to synthesize the precursor SAZ, and the target probe 18F-SAZ was obtained through nucleophilic substitution and other reactions. The radiochemical yield, radiochemical purity, specific activity, lipid water partition coefficient log P, and stability of 18F-SAZ were determined. Cancer cell lines OS-RC-2 (CAⅨ-positive) and HCT116 (CAⅨ-negative) were used for cell uptake experiments, and corresponding tumor-bearing mice were constructed for microPET imaging. Biodistribution of the probe in OS-RC-2 tumor-bearing mice was analyzed. The difference among groups was analyzed by repeated measures analysis of variance and Bonferroni method. Results:The probe 18F-SAZ was successfully prepared with the labelling yield of (5.60±0.51)%, specific activity of (7.90±0.62)MBq/nmol, radiochemical purity more than 99%, and the lipid water partition coefficient log P of -0.38±0.01. After incubation with PBS or mouse serum for 4 h, the radiochemical purity was still more than 99%. The uptake of 18F-SAZ in OS-RC-2 cells reached (1.47±0.24) percentage of the added radioactivity dose (%AD) at 30min, which was significantly higher than the uptake in the blocked group and that in HCT116 cells ((0.60±0.07)%AD, (0.50±0.05)%AD; F=24.31, P values: 0.012, 0.013 (Bonferroni correction method)). The results of microPET imaging showed that the uptake of 18F-SAZ in OS-RC-2 tumors reached the maximum at 30min ((2.92±0.07) percentage activity of injection dose per gram of tissue (%ID/g)), while the maximum uptakes in the blocked group and HCT116 tumors were only (1.36±0.02) and (1.12±0.07)%ID/g, respectively. 18F-SAZ was mainly distributed in tumors and organs including kidney, intestine, liver, stomach in OS-RC-2 tumor-bearing mice. Conclusions:The probe 18F-SAZ is successfully synthesized. It has high radiochemical purity and good stability in vitro, and can specifically target tumor cells with high expression of CAⅨ. It is expected to be a new CAⅨ-targeting PET imaging probe.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

Objective To investigate the expression of myelin transcription factor 1-like(MYT1L)during amyotrophic lateral sclerosis(ALS)progression and its association with neuronal degeneration through bioinformatics analysis combined with in vivo and in vitro experiments.Methods Bioinformatics analysis of the GSE106803 dataset from the Gene Expression Omnibus(GEO)database revealed significant down-regulation of MYT1L in spinal cords of ALS transgenic mice carrying the human superoxide dismutase 1 mutant gene(hSOD1G93A)compared to the wild-type(WT)mice.hSOD1G93A transgenic mice and their WT littermates were selected to analyze MYT1L mRNA and protein changes in spinal cord tissues at different disease stages using Real-time PCR and Western blotting.Double immunofluorescent staining was used to determine the distribution and cellular localization of MYT1L in the spinal cord of mice at the middle stage of the disease.An ALS cellular model was established using hSOD1G93A mutant NSC34 cells,with hSOD1WT NSC34 cells as controls.MYT1L expression and distribution were assessed in these cells via Real-time PCR,Western blotting,and immunofluorescent staining.Based on the GSE76220 dataset from the GEO database,differentially expressed genes(DEGs)between MYT1L high-and low-expression groups in lumbar spinal motor neurons of ALS patients were identified,followed by Gene Ontology(GO)functional enrichment analysis.MYT1L overexpression was induced in the ALS cellular model to evaluate alterations in cell viability and neurite outgrowth.Results In the GSE106803 dataset,MYT1L expression was significantly down-regulated in the spinal cord of ALS mice.Animal experiments confirmed progressive reductions in MYT1L mRNA and protein levels in spinal cord tissues of ALS mice during mid-and late-disease stages.Compared to the WT group,MYT1L expression decreased in motor neurons of the lumbar spinal cord gray matter anterior horn in ALS mice,while it increased in astrocytes.In vitro,hSOD1G93Amutant NSC34 cells exhibited significantly reduced MYT1L expression than controls,with MYT1L localized to both the cytoplasm and nucleus.DEGs between MYT1L high-and low-expression groups in lumbar spinal cord motor neurons of ALS patients(GSE76220 dataset)were enriched in synaptic-related functions through GO analysis.Overexpression of MYT1L in hSOD1G93A mutant NSC34 cells enhanced cell viability and promoted neurite outgrowth.Conclusion Aberrantly low expression of MYT1L is closely associated with ALS pathogenesis.Overexpression of MYT1L promotes neurite growth and exerts protective effects on ALS motor neurons,suggesting its therapeutic potential.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.